Model Releases
Qwen 3.8 Flash Next Q3 S - Benchmark creation
After running a benchmark test on Exo in Opencode and being amazed by the result, I thought I'd try other models on Opencode. Many were surprisingly terrible. Especially some mid level models. Earlier
After running a benchmark test on Exo in Opencode and being amazed by the result, I thought I'd try other models on Opencode. Many were surprisingly terrible. Especially some mid level models. Earlier posts: https://www.reddit.com/r/opencode/comments/1wzm1ah/exo_free_frontier_level_wow/ https://www.reddit.com/r/opencode/comments/1ww5o7y/animated_horse_space_bunny/ Today I installed Strata on https://github.com/Niko1221/Strata I connected up my AMD R9700 32gb with 64gb RAM and used the model Qwen3.8-Flash-Next IQ3_S. Admittedly I was expecting terrible results considering it's a small Q3. It acheived 90 tk/s decode approximately 3x compare to 27b. I tried the usual prompt from the other posts, but the output wasn't great. So I tried iterating with a few more prompts in the hope it would improve it. The major leap was when I asked it for a plan, then asked it to build it and when I said "low poly" style but with many polygons. FYI I'd done similar with other models and the result would get worse rather than better. Anyway I thought I'd share the output. Qwen 3.8 Flash Next IQ3 S - https://web.esuyo.com/horse-strata-qwen-3.8-q3-s-1/ Qwen 3.8 Max - https://web.esuyo.com/horse-qwen-3.8-max/ submitted by /u/migsperez [link] [comments]
Related
- I ran Qwen 3.8 Flash-Next on my AMD 7900 XTX at 500k context. All local and what a shift it has been.
- Qwen 3.8 27b - PI AGENT vs OPENCODE
- I benchmarked 21 Qwen3.8 27B variants on 16GB VRAM
Source: r/LocalLLaMA | 2026-10-12